Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil

Abstract Dengue is recognized as a health problem that causes significant socioeconomic impacts throughout the world, affecting millions of people each year. A commonly used method for monitoring the dengue vector is to count the eggs that Aedes aegypti mosquitoes have laid in spatially distributed...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ignacio Sanchez-Gendriz, Gustavo Fontoura de Souza, Ion G. M. de Andrade, Adrião Duarte Doria Neto, Alessandre de Medeiros Tavares, Daniele M. S. Barros, Antonio Higor Freire de Morais, Leonardo J. Galvão-Lima, Ricardo Alexsandro de Medeiros Valentim
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Nature Portfolio 2022-04-01
Σειρά:Scientific Reports
Διαθέσιμο Online:https://doi.org/10.1038/s41598-022-10512-5
Ετικέτες: Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

Παρόμοια τεκμήρια